Early warning of stator winding overheating fault of water-cooled turbogenerator based on SAE-LSTM and sliding window method

Aiming at the early warning of overheating defects in the stator winding of water-cooled turbogenerators, this paper proposes a novel method based on SAE-LSTM and sliding window method by combining the Sparse Auto-Encoder (SAE) and the Long–Short Term Memory network (LSTM) with highly time dependent...

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Bibliographic Details
Main Authors: Yulei Yang, Shuming Zhang, Kaisen Su, Ruiming Fang
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723002202